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Port a Monte Carlo Engine to CUDA for an Asset Manager

FreeVerified credential4 weeksAdvanced

Overview

What this challenge is about.

Port a Monte Carlo Engine to CUDA for an Asset Manager. Advanced challenge in code. Writing production code that solves real engineering problems, earn a blo...

CredentialBlockchain-anchored
ShareableLinkedIn-ready
LanguageEnglish
PaceSelf-paced

The Brief

What you'll do, and what you'll demonstrate.

Port a CPU Monte Carlo risk engine to CUDA on 4x A100 GPUs, targeting at least 30x speedup with documented numerical-correctness vs the CPU baseline.

This is not a coding exercise. It is the work a software engineer does between a Jira ticket and a merged PR. That distinction matters to every hiring manager who has seen candidates solve LeetCode problems and none who have shipped production code under real constraints.

When you finish, you will have something most graduates do not: a real-world deliverable, verified by Ewance, that you can show to a hiring manager and say "I did this. Here is the proof."

Earning criteria — what you'll demonstrate

  • Port a real numerical workload from CPU to CUDA correctly
  • Use cuRAND + thoughtful kernel design for coalesced memory access
  • Validate numerical correctness across host + device implementations
  • Conduct occupancy + roofline analysis to identify optimization headroom

Program Fit

Where this fits in your program.

Sharpens the same skills your degree expects you to demonstrate.

Aligned coursework coming soon.

One more thing

You can put a credential on your CV by Friday.